Top Fintech Data & Analytics Jobs

The Lead Data Engineer is responsible for designing and implementing data models, optimizing data pipelines, and ensuring data quality and reliability within a collaborative analytics team environment.

The Principal Quantitative Engineer will lead the design and implementation of applications for portfolio construction and asset allocation, collaborating closely with quantitative analysts to convert AI prototypes into production-ready applications.

Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

As a Sr Associate in Fraud Analytics, you'll analyze data, develop fraud rules, implement models, and collaborate with stakeholders to mitigate fraud losses.

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

The Senior Analytics Engineer will design and maintain data models, ensure data quality, collaborate with teams on data requirements, and set engineering standards for data pipelines at Remitly.

The Data Analyst will evaluate data flow, develop solutions, communicate findings, create data visualizations, and ensure timely project completion.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.